DSSE: a drone swarm search environment
Not on the map. Why?
Abstract (arXiv)
The Drone Swarm Search project is an environment, based on textscPettingZoo, that is to be used in conjunction with multi-agent (or single-agent) reinforcement learning algorithms. It is an environment in which the agents (drones), have to find the targets (shipwrecked people). The agents do not know the position of the target and do not receive rewards related to their own distance to the target(s). However, the agents receive the probabilities of the target(s) being in a certain cell of the map. The aim of this project is to aid in the study of reinforcement learning algorithms that require dynamic probabilities as inputs. A peer-reviewed paper describing version 2 of this software has been published in JOSS: https://doi.org/10.21105/joss.06746.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 2 of its 28 references that are in the map. First posted on arXiv 12 Jul 2023.
Builds on
2 of 28 references.
References · 2
- 2017Proximal Policy Optimization Algorithmscited by 15,215
- 2020PettingZoo: Gym for Multi-Agent Reinforcement Learningcited by 220
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Citing papers per year: 2026: 1.
1 paper.